Title
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Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments Xi Chen Ali Ghadirzadeh John Folkesson Patric Jensfelt 201 45 0 27 Apr 2018
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Composable Deep Reinforcement Learning for Robotic Manipulation Tuomas Haarnoja Vitchyr H. Pong Aurick Zhou Murtaza Dalal Pieter Abbeel Sergey Levine 234 244 0 19 Mar 2018
Composable Planning with AttributesInternational Conference on Machine Learning (ICML), 2018 Amy Zhang Adam Lerer Sainbayar Sukhbaatar Rob Fergus Arthur Szlam 322 66 0 01 Mar 2018
Learning by Playing - Solving Sparse Reward Tasks from ScratchInternational Conference on Machine Learning (ICML), 2018 Martin Riedmiller Agrim Gupta Thomas Lampe Michael Neunert Jonas Degrave T. Wiele Volodymyr Mnih N. Heess Jost Tobias Springenberg 251 477 0 28 Feb 2018
Computational Theories of Curiosity-Driven Learning Pierre-Yves Oudeyer 168 70 0 28 Feb 2018
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research Matthias Plappert Marcin Andrychowicz Alex Ray Bob McGrew Bowen Baker ... Joshua Tobin Maciek Chociej Peter Welinder Vikash Kumar Wojciech Zaremba 237 614 0 26 Feb 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based ControlInternational Conference on Learning Representations (ICLR), 2018 Vitchyr H. Pong S. Gu Murtaza Dalal Sergey Levine OffRL 278 254 0 25 Feb 2018
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration Emmy Liu Kelvin Guu Panupong Pasupat Tianlin Shi Abigail Z. Jacobs OnRL 170 273 0 24 Feb 2018
Unicorn: Continual Learning with a Universal, Off-policy Agent D. Mankowitz Augustin Žídek André Barreto Dan Horgan Matteo Hessel John Quan Junhyuk Oh H. V. Hasselt David Silver Tom Schaul CLL OffRL 149 48 0 22 Feb 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms Cédric Colas Olivier Sigaud Pierre-Yves Oudeyer 280 165 0 14 Feb 2018
Evolved Policy Gradients Rein Houthooft Richard Y. Chen Phillip Isola Bradly C. Stadie Filip Wolski Jonathan Ho Pieter Abbeel 351 234 0 13 Feb 2018
ScreenerNet: Learning Self-Paced Curriculum for Deep Neural Networks Tae-Hoon Kim Jonghyun Choi 317 9 0 03 Jan 2018
RLlib: Abstractions for Distributed Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2017 Eric Liang Richard Liaw Philipp Moritz Robert Nishihara Roy Fox Ken Goldberg Joseph E. Gonzalez Michael I. Jordan Ion Stoica OffRL AI4CE 275 178 0 26 Dec 2017
Learning Multi-Level Hierarchies with Hindsight Andrew Levy George Konidaris Robert Platt Kate Saenko 226 82 0 04 Dec 2017
A Deeper Look at Experience Replay Shangtong Zhang R. Sutton OffRL VLM 342 303 0 04 Dec 2017
Divide-and-Conquer Reinforcement Learning Dibya Ghosh Avi Singh Aravind Rajeswaran Vikash Kumar Sergey Levine OffRL 204 131 0 27 Nov 2017
Hindsight policy gradients Paulo E. Rauber Avinash Ummadisingu Filipe Wall Mutz J. Schmidhuber 260 74 0 16 Nov 2017
Asymmetric Actor Critic for Image-Based Robot Learning Lerrel Pinto Marcin Andrychowicz Peter Welinder Wojciech Zaremba Pieter Abbeel OffRL 207 442 0 18 Oct 2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 455 1,506 0 18 Oct 2017
Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation Kuan Fang Yunfei Bai Stefan Hinterstoißer Silvio Savarese Mrinal Kalakrishnan OOD 190 125 0 17 Oct 2017
Emergent Complexity via Multi-Agent Competition Trapit Bansal J. Pachocki Szymon Sidor Ilya Sutskever Igor Mordatch 247 411 0 10 Oct 2017
Overcoming Exploration in Reinforcement Learning with Demonstrations Ashvin Nair Bob McGrew Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel OffRL 497 849 0 28 Sep 2017
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations Aravind Rajeswaran Vikash Kumar Abhishek Gupta Giulia Vezzani John Schulman E. Todorov Sergey Levine 380 1,244 0 28 Sep 2017
Shared Learning : Enhancing Reinforcement in $Q$ -Ensembles Rakesh R Menon Balaraman Ravindran 65 0 0 14 Sep 2017
Learning Generalized Reactive Policies using Deep Neural Networks E. Groshev Maxwell Goldstein Aviv Tamar Siddharth Srivastava Pieter Abbeel 259 126 0 24 Aug 2017
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum LearningJournal of machine learning research (JMLR), 2017 Sébastien Forestier Rémy Portelas Yoan Mollard Pierre-Yves Oudeyer 325 197 0 07 Aug 2017
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously Serkan Cabi Sergio Gomez Colmenarejo Matthew W. Hoffman Misha Denil Ziyun Wang Nando de Freitas 146 31 0 11 Jul 2017
Experience Replay Using Transition Sequences Thommen George Karimpanal Roland Bouffanais OffRL 120 14 0 30 May 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 464 550 0 17 May 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 783 1,719 0 25 Jan 2017
Factored Contextual Policy Search with Bayesian Optimization Peter Karkus A. Kupcsik David Hsu Wee Sun Lee OffRL 168 10 0 06 Dec 2016